Cremica × Saivyy · Saucebook proposal · Nov 2026
60-day pilot →
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For Pawan Kotwani · Cremica Food Industries Ltd. · from Aryan, Saivyy Technologies

One sauce, a hundred promises. Keep every one.

Every big chain wants its own flavour, thickness, allergen list and pack. Every order wants its own price. Every complaint needs an answer by tomorrow. Today those live in emails, Excel files and memory. Saucebook puts them in one place, in three simple tools.

Namaste! I'm Tamatar, a tomato with a chef's cap. Tap the glowing dots on the bottle, the pouch and the sachet →
Saucebook keeps itToday: email, Excel, memory
drag to turn · tap a dot
Where it started1996a joint venture to supply liquid condiments to McDonald's India (press reports)
Foodservice share~70–75%of FY26 revenue is HoReCa, with retail near 10% (press reports)
Capacity (reported)6–8 k t/moof liquid condiments, with new Una lines and a Delhi-area plant planned
Named QSR customers3+McDonald's, KFC and Domino's are publicly reported customers

Sources: Cremica website; press coverage (Restaurant India, Agron Food Processing, FnB News). Figures are as reported and not verified against filings. Saucebook figures are our proposal. Full list at the end.

00 The 30-second version

Three things hurt. Three tools fix them. Three results you can measure.

If you read nothing else, read these three rows. Everything after this page shows each row working.

Left to right: what hurts, what we build, what you can count.
What hurts todaySpecs live in emails

Each chain's flavour, thickness and allergen spec is scattered, and the line sometimes runs an old one.

→
Tool 01 · Spec PortalOne signed spec per customer

Every change is checked, signed by the customer, and goes live from a named lot.

→
What you can count
0changes without a signature
What hurts todayQuotes from last year's costs

Packing and freight are guessed, and oil or tomato paste moves go unnoticed.

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Tool 02 · Quote CalculatorPrice from the real inputs

Recipe, packing, order size and delivery terms build the price, with margin on screen.

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What you can count
0min per quote, from ~3 hours
What hurts todayComplaints start a hunt

Finding the lot, tests, raw materials and other outlets takes days across five systems.

→
Tool 03 · Complaint LinkLot to cause to fix, linked

One view joins the lot, lab tests, return and corrective action.

→
What you can count
0min to the cause, from ~3 days
1

Connect

Read-only access to the exports, lab sheets and mailbox you already have. Nothing is installed on the production line.

2

Learn

Saucebook loads your specs, recipes and past lots. Your team checks them, so day one starts from your truth.

3

Act

It routes signatures, builds prices and traces complaints. A person approves every change and every write-back.

Result figures are targets for the pilot, based on illustrative baselines. We agree the real ones with you in week 1.

01 What we know

A foodservice-led maker, growing in every direction.

We read your website and the press before writing a line. Here is what we think shapes your day.

Big chains don't buy "a sauce". They buy their sauce, exactly the same, every time.
~70–75%

Most of your revenue is foodservice

Hotels, restaurants and QSR chains. Each has its own spec for taste, thickness, allergens and pack.

So: every customer's spec must be exact and signed.
2 sites

Phillaur (Punjab) and Una (Himachal)

Ketchup, mayonnaise and retort at Phillaur. New jam and sauce lines at the Una food park. One customer's spec may run at either.

So: one spec, followed at every plant.
Many pack sizes

Sachets, bottles, pouches, bulk tubs

A bulk mayonnaise price is not a sachet price. Packing material, order size and delivery terms change the cost a lot.

So: price every order from its real inputs.
IPO plans

Press reports talk of a ₹600–700 crore IPO

Listed-company discipline means every quality issue, every customer commitment and every margin leak will be looked at more closely.

So: make records easy to show and easy to trust.
UK · Middle East · SE Asia

Export markets have different rules

Allergen labelling, ingredient limits and customer audits differ by country, so one change can ripple to many pack variants.

So: link each spec change to the pack and label it affects.
1 complaint

A complaint is a chain, not a ticket

One QSR outlet reports a watery sauce. Which lot? Which line? Which tests? Which other outlets got that lot? Today people hunt for each answer.

So: link lot, lab test, return and fix in one view.
02 The problem

A QSR sauce is a contract, not just a recipe.

Between the customer's request and the sauce in their outlet, there are many hands. Pick a stage to see how a promise can slip, and which Saucebook tool catches it.

The later a problem is found, the more it costs. Found at the outlet, it costs a whole lot.
Cost of the same mistake, by where it's found · illustrative
Relative cost (1× = caught when the spec is agreed)

Illustrative multipliers. In the pilot we replace them with your real rework, rejection and complaint costs.

03 Meet the people

Six people, one sauce, six different worries.

From the key-account manager to the customer's quality head to the lab analyst. Flip between Today and With Saucebook.

These people are illustrative. Your plant will recognise every one.

Their week

    04 The solution

    Saucebook: three tools, one book of truth.

    Think of it as one shared recipe book that also remembers every promise, price and problem. It sits beside your ERP, lab records and email. It reads what already arrives and keeps it in order. Nothing changes on the production line.

    Three tools. Each answers one question your team asks every single day.
    05 One change, end to end

    One request. Seven steps. All three tools working together.

    A burger chain asks for a thicker sauce. Follow that single request from the email to an outlet complaint three weeks later, and see which tool does what.

    Press Play, or tap a step. Watch the screen change at every hand-over.
    ——
    Today: 9 days · With Saucebook: 3 days

    Illustrative scenario and numbers. Customer named generically.

    05 Tool 01 · QSR Sauce & Condiment Spec Portal

    Every customer's spec, exact, signed and versioned.

    Flavour, viscosity, allergens and bottle or sachet spec, kept per customer, with a signed approval for every change. Pick a customer, ask for a change, and walk it through sign-off.

    Try making viscosity very thick. See how Saucebook checks it against what the line can do.
    Saucebook · Spec Portal · customer-specific specs
    Request a change
    Signature chain
    Who and what is affected by this change
    Version history · every change signed

    Illustrative customers (named generically) and spec values.

    06 Tool 02 · Bulk Foodservice Pack Quote Calculator

    Price from the real inputs, in minutes.

    Mayonnaise, sauces and gravies priced from the recipe, the packing material, the order size and the supply terms. Move the oil price or the order size and watch the price and margin change.

    Try making oil more expensive. Mayo feels it far more than ketchup.
    Saucebook · Quote Calculator · key-account desk
    Where the cost goes (₹ per kg)
    Price breaks by order size, at target margin
    How the price is built (₹ per kg)
    Compare two scenariossave one, change inputs, compare

    Illustrative recipes and rate cards. In the pilot Saucebook reads your real BOMs and costs.

    07 Tool 03 · Batch Quality & Customer Complaint Linkage

    From a complaint to the cause, in one click.

    Finished-goods lot, lab test, retailer or QSR return and corrective action, all connected. Pick a complaint and press Trace.

    Watch the chain build. Then look at the other outlets that got the same lot.
    Saucebook · Batch & Complaint Link · quality desk
    Complaints by lot, last 4 weeks
    Where this lot wentdots = outlets that received it

    Illustrative lots, tests and outlets.

    08 The sauce year

    Every season, a different appetite.

    Summer shakes and burgers, IPL nights, wedding gravies, festive pizzas, and export orders on top. Plan specs, prices and quality checks before the rush. Click a month on the sauce-bottle cap.

    The calendar is a bottle cap. Pop it, and see the month!
    09 Dashboard · Leadership

    One book, four chairs.

    The same data, cut for the MD, Key Accounts, Quality and Finance. Each sees their number and the lever that moves it.

    Switch chairs. The slicing is done.
    Saucebook · Leadership cockpit · pilot scope

    Illustrative pilot-period numbers.

    10 The maths

    What accurate prices and fewer complaints are worth.

    We don't know your numbers, so every default is a placeholder. Set your own and the page recalculates.

    Conservative defaults. A good sauce is consistent, not dramatic.
    Value per year, from the three tools
    —
    Margin protected on bulk quotes—
    Complaint cost avoided—
    Team time freed (at ₹700/h)—
    Team hours freed a year—
    Treat this as a shape, not a promise. The pilot swaps every slider for your real data.
    13 Plugging in & trust

    Will it disturb the plant? No. Here's exactly how it plugs in.

    The questions a careful leadership team asks, answered in plain words.

    Read-only first. A person approves every change. You can leave anytime with all your data.

    How Saucebook connects to what you have

    Your systemHow we connectWhat we readWrite-back
    ERPScheduled export or read-only connectorLots, dispatch, invoices, costsOnly after approval
    Lab recordsFolder watcher or exportTest results per lotNone
    Email & WhatsAppA forwarded mailbox and a business numberCustomer requests and complaintsDrafts only. You send.
    Excel filesOne-time import, then kept in syncRecipes, BOMs, rate cardsUpdated after approval
    Line recordsPhoto or CSV upload, or a tablet viewSettings and run timesNone
    What we need from you

    A small, clear list

    • One owner, ideally the QA lead
    • The last 90 days of lots, lab tests and complaints, as exports
    • Current specs for the chosen customer
    • Recipes, BOMs and rate cards for the chosen products
    • About 2 hours a week each from Key Accounts, QC and Costing
    How we manage risk

    Four risks, four answers

    • Wrong data in: your owners validate every loaded spec before it is used
    • Low adoption: it works through email and WhatsApp, with no new app to learn
    • Confidentiality: NDA, your own cloud tenancy, role-based access, every view logged
    • Change fatigue: one customer and one plant first, and nothing else changes
    How we'd work commercially: a fixed-fee pilot, agreed in our first call, with scale-up only if the KPIs you set are met. No lock-in. Specs, history and audit packs export in open formats. Figures to be agreed together.
    11 The ask

    60 days. One customer family, one plant. KPIs agreed together.

    Start small and measure against your own last 60 days. Nothing is installed on the production line. Saucebook reads the files, emails and records you already have.

    Small enough to start next week. Clear enough to prove.
    Proposed scope

    One QSR family · Phillaur plant · KAM desk

    Three or four SKUs for one QSR customer, plus the bulk-quote desk and the quality team.
    • Spec Portal for that customer's SKUs, with all current specs loaded and signed
    • Quote Calculator loaded with real recipes, pack costs and freight rates
    • Batch & Complaint Link across the last 90 days of lots, tests and returns
    • Baseline: your own previous 60 days
    KPIs we'd agree up front

    Four numbers, set with you

    Final targets are agreed together in week 1, from your real baseline.
    • Spec-change turnaround, and changes made without sign-off
    • Quote turnaround and margin spread between quoters
    • Time from complaint to confirmed lot and cause
    • Repeat complaints on the same cause
    Week 1

    Scope & load

    Agree KPIs and baseline. Load specs, recipes and rate cards, and connect lab and complaint records.

    Weeks 2–3

    Spec first

    Spec Portal goes live. Every change request now flows through sign-off.

    Weeks 4–6

    Quote & trace

    The desk quotes with the calculator in parallel. Complaints start flowing into the lot-to-cause view.

    Weeks 7–9

    Prove

    Compare with baseline. Readout with Quality, Key Accounts and Finance, and a plan for Una and other customers.

    Beyond these three: we also engineer fully customised AI, automation and deep-tech solutions aligned with your business needs and goals. Share a convenient date and time for a 15-minute Google Meet to explore a pilot.
    Fits your stackYour ERP, lab records, email and spreadsheets. No change on the production line.
    Your recipes stay yoursRecipes, specs and prices stay in your own cloud tenancy in India. Access is role-based, and every view is logged.
    Built for auditsEvery spec change, signature and corrective action is time-stamped and exportable as an audit pack.

    Same taste, every time. Every promise on record.

    Would you be open to a 15-minute Google Meet? Please share a convenient date and time, and we'll arrange it.

    Pick a Meet slot →

    Aryan · Saivyy Technologies